Dynamically Adjusted Control System Architecture

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Dynamically Adjusted Control System Architecture

Expert Rating

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Overview

We propose to develop a flexible motivational framework within which AGI systems can be supported. Our goal is to allow for concurrent information processing, and dynamically adjusted control, both responsive to changes in the external environment, and the internal state of the model. We are basing our framework on the Information Fusion work of Frankel and Bedworth which is detailed in the 2000 paper. We will describe our novel AGI framework in a research paper, and illustrate it in operation with a simple “Hello, world” demonstrator.

RFP Guidelines

Develop a framework for AGI motivation systems

Proposal Submission (7 days left)
  • Type SingularityNET RFP
  • Total RFP Funding $40,000 USD
  • Proposals 7
  • Awarded Projects n/a
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SingularityNET
Apr. 14, 2025

Develop a modular and extensible framework for integrating various motivational systems into AGI architectures, supporting both human-like and "alien digital" intelligences. This could be done as a highly detailed and precise specification, or as a relatively simple software prototype with suggestions for generalization and extension. Bids are expected to range from $15,000 - $30,000.

Proposal Description

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  • Total Milestones

    4

  • Total Budget

    $30,000 USD

  • Last Updated

    13 May 2025

Milestone 1 - Description of AGI Framework

Description

In this milestone we will develop the broad definitions of the AGI framework. Basing our architecture on the Frankel-Bedworth model for information fusion we will define the modular components of a forward-backward / processing-motivation AGI system operating at multiple levels of abstraction.

Deliverables

Project white paper

Budget

$10,000 USD

Success Criterion

White paper adequately describes the background to our work, the essence of the control and estimation architecture from 2000, and how we have used it as a springboard to develop a novel AGI framework.

Milestone 2 - Specification of AGI Framework

Description

In this milestone we will extend the model to cover the two key aspects of AGI: self-directed learning and socio-ethical conformity. Learning should be modularised in such a way that supports continuous improvement while maintaining the ability to generalise. Conformity to expectations from external influences will form a key element of the top-down control signal. In this milestone we will also introduce the multiple levels of abstraction with which the AGI system can operate.

Deliverables

Specification document

Budget

$5,000 USD

Success Criterion

Specification document describes the leaning and conformity elements of our novel AGI framework, together with the levels of abstraction which enable top-down motivation in addition to self-directed goal setting. We will also list a number of use-cases and how we see them fitting into our framework. We will include ChatBots, Humanoid Robots and Virtual Agents among our use cases.

Milestone 3 - Demo of AGI Framework

Description

For this milestone we will develop an implementation of a very basic AI system which illustrates the behavior of designs based on our framework. Detailed specifications will be finalised nearer the time but we will construct a system which encompasses sensing perception decision making and learning of the forward loop; plus expectation preference and motivation of the backward loop.

Deliverables

Framework demo

Budget

$10,000 USD

Success Criterion

Demonstrator software is functional, and adequately showcases our novel AGI framework using inferencing paradigms as necessary.

Milestone 4 - AGI Framework Research Paper

Description

This milestone comprises the production of a final version of the research paper describing the Florisson-Frankel-Bedworth AGI architecture. It will outline our findings and detail the behavior of a software implementation of the demonstrator system. The paper will be based on the white paper reports of milestones 1 and 2. It will include relevant sections on background motivation insights and experiments. We will conclude with an honest description of any limitations and remaining challenges our thoughts on how the framework might be further developed or extended and an indicative roadmap of how these might be addressed in future work.

Deliverables

Research paper detailing the Florisson-Frankel-Bedworth AGI architecture

Budget

$5,000 USD

Success Criterion

A research paper of sufficient quality is submitted, or in sufficient condition to be submitted, to a relevant AGI journal or conference. A presentation of our findings to the SingularityNET community also organised and available if requested.

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